Research
In the realm of conversational AI, addressing hallucinations (where AI generates incorrect or non-existent information) while ensuring swift responses has been a complex technical challenge. We have overcome this hurdle with a proprietary method that achieves both hallucination and response time minimization. Our approach involves using a large-scale LLM to create anticipated question-and-answer data, which is then verified and adjusted. This data is subsequently used to train a smaller, high-speed LLM. This combination leverages the high accuracy of large-scale models and the speed of smaller models, allowing for precise, real-time responses. Our technology is ideal for applications in educational and healthcare environments, enhancing interactive training simulations and communication practices.
Leading-edge conversational AI technology
delivering rapid responses while minimizing hallucinations
High-Performance Conversational AI:
Balancing Speed and Hallucination Control
Our video analytic technology combines the latest in optical character recognition (OCR), facial recognition, and motion detection with the powerful capabilities of large language models (LLMs). This integration allows for interactive extraction and analysis of information from videos, making it possible to process multiple videos simultaneously to identify patterns and detect suspicious behaviors or potential threats.
Recent advancements in these technologies, coupled with the rapid evolution of LLMs, now enable non-engineers to conduct sophisticated AI analysis through intuitive dialogue interactions. RUTILEA’s system facilitates interactive video analysis, offering applications in security and safety such as detecting suspicious activities, early fire and accident detection, patient fall detection, and enhancing marketing strategies through consumer behavior insights.
Advanced video analytic system
integrating OCR, facial recognition, motion detection, and LLMs
Video Analytics
We are developing domain-specific AI agents designed to automate tasks that require specialized knowledge and complex workflows. While technologies like ChatGPT, which utilize general-purpose LLMs, are increasingly used to handle challenging tasks, these models often lack the domain-specific knowledge needed for high-level automation in specialized fields. This limitation has prevented the full automation of advanced business processes.
We address this challenge by combining LLMs that are trained on domain-specific data with no-code tools for programming business processes. Our system aims to automate and assist with intricate workflows, offering a tailored AI agent solution. In the future, we plan to expand these LLMs to autonomously design and execute solutions based on defined objectives, minimizing the need for no-code tools and advancing towards fully self-sufficient automation system.
Integrated system featuring LLM AI agents and decision support tools for design and quality management
Domain-specifc AI Agent
REO is a no-code operation analysis system that enhances safety, accuracy, and productivity. This solution is applicable for factories in the manufacturing industry, including the automotive sector.
Using multiple smart cameras, REO recognizes human tasks, consolidates captured data on the server, and verifies the overall operation based on preset task registrations. It enables the monitoring of multiple targets, offering high flexibility and scalability. Task registration is done through a no-code drag-and-drop interface, eliminating the need for programming skills. The system setup is completed in three steps: camera installation, camera-server connection, and task registration, making it ready for use as soon as the cameras are installed.
REO automatically measures work volume and task duration, displaying analysis results in clear numerical formats. These insights serve as a foundation for operational improvements and efficiency gains. Additionally, when a task error or procedural mistake is identified, REO logs and notifies the error, enabling quick error detection and timely feedback for process improvement. Furthermore, it detects the presence of safety equipment and hand movements near hazardous areas, thereby enhancing workplace safety.
No-code operation monitoring & analytic system
Multimodal AI
Rutilea Efficient Operations (REO)
Optimizing Power Generation with AI
As part of our vertical AI initiatives, we are dedicated to researching and developing systems that streamline power generation directives. Utilizing genetic algorithms, our system optimizes power generation processes according to market trends, ensuring efficient power procurement. This technology allows power retail companies to navigate price fluctuations with reduced risk and maintain a competitive stance. Through this initiative, we aim to help consumers obtain electricity at more stable and lower prices, independent of market fluctuations.
RUTILEA © 2024 All Rights Reserved.
6F Y.J.K Bldg, Shimomaruya-cho 397, Nakagyo-ku, Kyoto 604-8006, JAPAN
Research
In the realm of conversational AI, addressing hallucinations (where AI generates incorrect or non-existent information) while ensuring swift responses has been a complex technical challenge. We have overcome this hurdle with a proprietary method that achieves both hallucination and response time minimization. Our approach involves using a large-scale LLM to create anticipated question-and-answer data, which is then verified and adjusted. This data is subsequently used to train a smaller, high-speed LLM. This combination leverages the high accuracy of large-scale models and the speed of smaller models, allowing for precise, real-time responses. Our technology is ideal for applications in educational and healthcare environments, enhancing interactive training simulations and communication practices.
High-Performance Conversational AI:
Balancing Speed and Hallucination Control
Leading-edge conversational AI technologydelivering rapid responses while minimizing hallucinations
Our video analytic technology combines the latest in optical character recognition (OCR), facial recognition, and motion detection with the powerful capabilities of large language models (LLMs). This integration allows for interactive extraction and analysis of information from videos, making it possible to process multiple videos simultaneously to identify patterns and detect suspicious behaviors or potential threats.
Recent advancements in these technologies, coupled with the rapid evolution of LLMs, now enable non-engineers to conduct sophisticated AI analysis through intuitive dialogue interactions. RUTILEA’s system facilitates interactive video analysis, offering applications in security and safety such as detecting suspicious activities, early fire and accident detection, patient fall detection, and enhancing marketing strategies through consumer behavior insights.
Video Analytics
Advanced video analytic system
integrating OCR, facial recognition, motion detection, and LLMs
Leading-edge conversational AI technology delivering rapid responses while minimizing hallucinations
In the realm of conversational AI, addressing hallucinations (where AI generates incorrect or non-existent information) while ensuring swift responses has been a complex technical challenge. We have overcome this hurdle with a proprietary method that achieves both hallucination and response time minimization. Our approach involves using a large-scale LLM to create anticipated question-and-answer data, which is then verified and adjusted. This data is subsequently used to train a smaller, high-speed LLM. This combination leverages the high accuracy of large-scale models and the speed of smaller models, allowing for precise, real-time responses.
Our technology is ideal for applications in educational and healthcare environments, enhancing interactive training simulations and communication practices.
High-Performance Conversational AI:
Balancing Speed and Hallucination Control
Domain-specifc AI Agent
We are developing domain-specific AI agents designed to automate tasks that require specialized knowledge and complex workflows. While technologies like ChatGPT, which utilize general-purpose LLMs, are increasingly used to handle challenging tasks, these models often lack the domain-specific knowledge needed for high-level automation in specialized fields. This limitation has prevented the full automation of advanced business processes.
We address this challenge by combining LLMs that are trained on domain-specific data with no-code tools for programming business processes. Our system aims to automate and assist with intricate workflows, offering a tailored AI agent solution. In the future, we plan to expand these LLMs to autonomously design and execute solutions based on defined objectives, minimizing the need for no-code tools and advancing towards fully self-sufficient automation system.
Integrated system featuring LLM AI agents and decision support tools for design and quality management
Advanced video analytic system integrating OCR, facial recognition, motion detection, and LLMs
Our video analytic technology combines the latest in optical character recognition (OCR), facial recognition, and motion detection with the powerful capabilities of large language models (LLMs). This integration allows for interactive extraction and analysis of information from videos, making it possible to process multiple videos simultaneously to identify patterns and detect suspicious behaviors or potential threats.
Recent advancements in these technologies, coupled with the rapid evolution of LLMs, now enable non-engineers to conduct sophisticated AI analysis through intuitive dialogue interactions. RUTILEA’s system facilitates interactive video analysis, offering applications in security and safety such as detecting suspicious activities, early fire and accident detection, patient fall detection, and enhancing marketing strategies through consumer behavior insights.
Video Analytics
Integrated system featuring LLM AI agents and decision support tools for design and quality management
We are developing domain-specific AI agents designed to automate tasks that require specialized knowledge and complex workflows. While technologies like ChatGPT, which utilize general-purpose LLMs, are increasingly used to handle challenging tasks, these models often lack the domain-specific knowledge needed for high-level automation in specialized fields. This limitation has prevented the full automation of advanced business processes.
We address this challenge by combining LLMs that are trained on domain-specific data with no-code tools for programming business processes. Our system aims to automate and assist with intricate workflows, offering a tailored AI agent solution. In the future, we plan to expand these LLMs to autonomously design and execute solutions based on defined objectives, minimizing the need for no-code tools and advancing towards fully self-sufficient automation system.
Domain-specifc AI Agent
No-code operation monitoring & analytic system
REO is a no-code operation analysis system that enhances safety, accuracy, and productivity. This solution is applicable for factories in the manufacturing industry, including the automotive sector.
Using multiple smart cameras, REO recognizes human tasks, consolidates captured data on the server, and verifies the overall operation based on preset task registrations. It enables the monitoring of multiple targets, offering high flexibility and scalability. Task registration is done through a no-code drag-and-drop interface, eliminating the need for programming skills. The system setup is completed in three steps: camera installation, camera-server connection, and task registration, making it ready for use as soon as the cameras are installed.
REO automatically measures work volume and task duration, displaying analysis results in clear numerical formats. These insights serve as a foundation for operational improvements and efficiency gains. Additionally, when a task error or procedural mistake is identified, REO logs and notifies the error, enabling quick error detection and timely feedback for process improvement. Furthermore, it detects the presence of safety equipment and hand movements near hazardous areas, thereby enhancing workplace safety.
Multimodal AI
Rutilea Efficient Operations (REO)
Multimodal AI
Rutilea Efficient Operations（REO)
No-code operation monitoring & analytic system
REO is a no-code operation analysis system that enhances safety, accuracy, and productivity. This solution is applicable for factories in the manufacturing industry, including the automotive sector.
Using multiple smart cameras, REO recognizes human tasks, consolidates captured data on the server, and verifies the overall operation based on preset task registrations. It enables the monitoring of multiple targets, offering high flexibility and scalability. Task registration is done through a no-code drag-and-drop interface, eliminating the need for programming skills. The system setup is completed in three steps: camera installation, camera-server connection, and task registration, making it ready for use as soon as the cameras are installed.
REO automatically measures work volume and task duration, displaying analysis results in clear numerical formats. These insights serve as a foundation for operational improvements and efficiency gains. Additionally, when a task error or procedural mistake is identified, REO logs and notifies the error, enabling quick error detection and timely feedback for process improvement. Furthermore, it detects the presence of safety equipment and hand movements near hazardous areas, thereby enhancing workplace safety.
Enhance Productivity with Greater Safety and Accuracy through AI Recognition
Power Generation Optimization
As part of our vertical AI initiatives, we are dedicated to researching and developing systems that streamline power generation directives. Utilizing genetic algorithms, our system optimizes power generation processes according to market trends, ensuring efficient power procurement. This technology allows power retail companies to navigate price fluctuations with reduced risk and maintain a competitive stance. Through this initiative, we aim to help consumers obtain electricity at more stable and lower prices, independent of market fluctuations.
Measuring the time required for specified processes, visualizing task volume and productivity with numerical data to enhance operational efficiency.
Detecting errors in task procedures, allowing for early identification of worker mistakes. This enables prompt feedback and drives continuous improvement in operations.
Identifying the presence of safety equipment and detecting hand intrusions into hazardous areas to enhance overall workplace safety.
System Features
As part of our vertical AI initiatives, we are dedicated to researching and developing systems that streamline power generation directives. Utilizing genetic algorithms, our system optimizes power generation processes according to market trends, ensuring efficient power procurement. This technology allows power retail companies to navigate price fluctuations with reduced risk and maintain a competitive stance. Through this initiative, we aim to help consumers obtain electricity at more stable and lower prices, independent of market fluctuations.
Power Generation Optimization
6F Y.J.K Bldg, Shimomaruya-cho 397, Nakagyo-ku, Kyoto 604-8006, JAPAN
RUTILEA © 2024 All Rights Reserved.